论文标题
Parton分布功能的经典信息熵和搜索Gluon饱和的应用
Classical information entropy of parton distribution functions and an application in searching gluon saturation
论文作者
论文摘要
熵或信息是统计力学和信息理论系统中包含的基本数量。在本文中，提出了Parton分布功能的经典信息熵的定义。讨论了定义的熵的广泛和晚餐添加特性。还针对定义的熵推导了凹度。例如，提出了质子的Gluon分布的经典信息熵。饱和域中信息熵的演变有一些特定特征，这些特征可用于查找Gluon饱和的信号。
Entropy or information is a fundamental quantity contained in a system in statistical mechanics and information theory. In this paper, a definition of classical information entropy of parton distribution functions is suggested. The extensive and supper-additive properties of the defined entropy are discussed. The concavity is also deduced for the defined entropy. As an example, the classical information entropy of the gluon distribution of the proton is presented. There are some particular features of the evolution of the information entropy in the saturating domain, which could be used in finding the signals of gluon saturation.
